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2020 – today
- 2024
[j98]Houda Hafi
, Bouziane Brik, Pantelis A. Frangoudis, Adlen Ksentini, Miloud Bagaa:
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions. IEEE Access 12: 9890-9930 (2024)- [j97]Sagar Arora, Adlen Ksentini, Christian Bonnet:
Cloud native Lightweight Slice Orchestration (CLiSO) framework. Comput. Commun. 213: 1-12 (2024) - [j96]Zakaria Abou El Houda, Bouziane Brik, Adlen Ksentini:
Securing IIoT applications in 6G and beyond using adaptive ensemble learning and zero-touch multi-resource provisioning. Comput. Commun. 216: 260-273 (2024) - [j95]Somreeta Pramanik, Adlen Ksentini, Carla-Fabiana Chiasserini:
Cost-efficient RAN slicing for service provisioning in 5G/B5G. Comput. Commun. 222: 141-149 (2024) - [j94]Abdelkader Mekrache, Adlen Ksentini, Christos V. Verikoukis:
Machine Learning in FCAPS: Toward Enhanced Beyond 5G Network Management. IEEE Commun. Surv. Tutorials 26(4): 2769-2797 (2024) - [j93]Abdelkader Mekrache, Adlen Ksentini, Christos V. Verikoukis:
Intent-Based Management of Next-Generation Networks: an LLM-Centric Approach. IEEE Netw. 38(5): 29-36 (2024) - [j92]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Multi-Agent Deep Reinforcement Learning to Enable Dynamic TDD in a Multi-Cell Environment. IEEE Trans. Mob. Comput. 23(5): 6163-6177 (2024) - [j91]Luis A. Garrido, Anestis Dalgkitsis, Kostas Ramantas, Adlen Ksentini, Christos V. Verikoukis:
Resource Demand Prediction for Network Slices in 5G Using ML Enhanced With Network Models. IEEE Trans. Veh. Technol. 73(8): 11848-11861 (2024) - [c153]Saif Eddine Khelifa, Miloud Bagaa, Messaoud Ahmed Ouameur, Adlen Ksentini:
Case study of WebAssembly Runtimes for AI Applications on the Edge. GIIS 2024: 1-6 - [c152]Sofiane Messaoudi, Adlen Ksentini, Franck Messaoudi, Christian Bonnet:
SDN-based L4S Congestion Control in Beyond 5G. HPSR 2024: 99-105 - [c151]Giulio Carota, Karim Boutiba, Adlen Ksentini:
On Using the Edge Application Server Discovery Function to Enforce Edge Computing in 5G Networks and Beyond. ICC 2024: 4924-4929 - [c150]Tuan Tran, Dylan Gageot, Christoph Neumann, Guillaume Bichot, Abderrahmen Tlili, Karim Boutiba, Adlen Ksentini:
On Demand Bandwidth Boost: Improving video streaming over cellular networks with Network APIs. MHV 2024: 92-93 - [c149]Mazene Ameur, Bouziane Brik, Adlen Ksentini:
Leveraging LLMs to eXplain DRL Decisions for Transparent 6G Network Slicing. NetSoft 2024: 204-212 - [c148]Abdelkader Mekrache, Adlen Ksentini:
LLM-enabled Intent-driven Service Configuration for Next Generation Networks. NetSoft 2024: 253-257 - [c147]Tuan Tran, Dylan Gageot, Christoph Neumann, Guillaume Bichot, Abderrahmen Tlili, Karim Boutiba, Adlen Ksentini:
On the benefits and caveats of exploiting Quality on Demand Network APIs for video streaming. NOSSDAV 2024: 43-49 - [c146]Huy Quang Tran, Javier Errea, Huu-Trung Thieu, Quan Pham-Van, Nakjung Choi, Dominique Verchère, Adlen Ksentini, Djamal Zeghlache:
Demonstration of a Compositional Learning Framework for Open and Disaggregated Optical Network Control. OFC 2024: 1-3 - [i8]Swastika Roy, Hatim Chergui, Adlen Ksentini, Christos V. Verikoukis:
Federated Machine Reasoning for Resource Provisioning in 6G O-RAN. CoRR abs/2406.06128 (2024) - 2023
- [j90]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Optimal radio resource management in 5G NR featuring network slicing. Comput. Networks 234: 109937 (2023) - [j89]Somreeta Pramanik, Adlen Ksentini, Carla-Fabiana Chiasserini:
Cost-efficient slicing in virtual Radio Access Networks. Comput. Commun. 209: 349-358 (2023) - [j88]Nassima Toumi, Miloud Bagaa, Adlen Ksentini:
Machine Learning for Service Migration: A Survey. IEEE Commun. Surv. Tutorials 25(3): 1991-2020 (2023) - [j87]Redouane Niboucha, Sabra Ben Saad, Adlen Ksentini, Yacine Challal:
Zero-Touch Security Management for mMTC Network Slices: DDoS Attack Detection and Mitigation. IEEE Internet Things J. 10(9, May 1): 7800-7812 (2023) - [j86]Zakaria Abou El Houda, Bouziane Brik, Adlen Ksentini, Lyes Khoukhi:
A MEC-Based Architecture to Secure IoT Applications using Federated Deep Learning. IEEE Internet Things Mag. 6(1): 60-63 (2023) - [j85]Sabra Ben Saad, Bouziane Brik, Adlen Ksentini:
Toward Securing Federated Learning Against Poisoning Attacks in Zero Touch B5G Networks. IEEE Trans. Netw. Serv. Manag. 20(2): 1612-1624 (2023) - [c145]Sofiane Messaoudi, Adlen Ksentini, Christian Bonnet:
SDN Framework for QoS provisioning and latency guarantee in 5G and beyond. CCNC 2023: 587-592 - [c144]Kostas Ramantas, Anastasios N. Bikos, Walter Nitzold, Sofie Pollin, Adlen Ksentini, Sylvie Mayrargue, Vasileios Theodorou, Loizos Christofi, Georgios Gardikis, Md. Arifur Rahman, Ashima Chawla, Francisco Ibañez, Ioannis P. Chochliouros, Didier Nicholson, Mario Montagudand, Arman Shojaeifard, Alexios Pagkotzidis, Christos V. Verikoukis:
6G-BRICKS: Building Reusable Testbed Infrastructures for Cloud-to-Device Breakthrough Technologies. GLOBECOM (Workshops) 2023: 751-756 - [c143]Abdelkader Mekrache, Karim Boutiba, Adlen Ksentini:
Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G. GLOBECOM 2023: 1204-1209 - [c142]Hiba Merakchi, Miloud Bagaa, Messaoud Ahmed Ouameur, Adlen Ksentini, Abdenour Sehad:
Federated Deep Reinforcement Learning-Based Task Offloading System in Edge Computing Environment. GLOBECOM 2023: 5580-5586 - [c141]Sofiane Messaoudi, Adlen Ksentini, Franck Messaoudi, Christian Bonnet:
GNN-Based SDN Admission Control in Beyond 5G Networks. GLOBECOM 2023: 6103-6108 - [c140]Karim Boutiba, Adlen Ksentini:
On using Deep Reinforcement Learning to balance Power Consumption and Latency in 5G NR. ICC 2023: 6218-6223 - [c139]Huy Tran Quang, Javier Errea, Van-Quan Pham, Dominique Verchère, Adlen Ksentini, Djamal Zeghlache:
Dynamic Drift-Adaptive Ensemble-Based Quality of Transmission Classification Framework in OTN. ICTON 2023: 1-4 - [c138]Ioannis P. Chochliouros, John S. Vardakas, Kostas Ramantas, Sofie Pollin, Sylvie Mayrargue, Adlen Ksentini, Walter Nitzold, Md. Arifur Rahman, Jimmy O'Meara, Ashima Chawla, Dimitrios Kritharidis, Vasileios Theodorou, Shuaib Siddiqui, Francisco Ibañez, Georgios Gardikis, Dimitris Diagourtas, Loizos Christofi, Alain Mourad, Didier Nicholson, Alexandros Kostopoulos, Anastasia S. Spiliopoulou, Christos V. Verikoukis:
6G-BRICKS: Developing a Modern Experimentation Facility for Validation, Testing and Showcasing of 6G Breakthrough Technologies and Devices. AIAI Workshops 2023: 17-31 - [c137]Mohamed Mekki, Bouziane Brik, Adlen Ksentini, Christos V. Verikoukis:
XAI-Enabled Fine Granular Vertical Resources Autoscaler. NetSoft 2023: 161-169 - [c136]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On enabling 5G Dynamic TDD by leveraging Deep Reinforcement Learning and O-RAN. NOMS 2023: 1-3 - [c135]Javier Errea, Huy Tran Quang, Dominique Verchère, Huu-Trung Thieu, Andrea Mazzini, Lahcen Abnaou, Jelena Pesic, Marina Curtol, Abdelali El Imadi, Adlen Ksentini, Djamal Zeghlache:
Open Disaggregated Optical Network Control with Network Management as Code. OFC 2023: 1-3 - [c134]Javier Errea, Deborah Djon, Huy Tran Quang, Dominique Verchère, Adlen Ksentini:
Deep Reinforcement Learning-aided Fragmentation-aware RMSA Path Computation Engine for Open Disaggregated Transport Networks. ONDM 2023: 1-3 - [c133]Luis A. Garrido, Kostas Ramantas, Anestis Dalgkitsis, Adlen Ksentini, Christos V. Verikoukis:
Admission Control with Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks. PIMRC 2023: 1-6 - [i7]Bouziane Brik, Hatim Chergui, Lanfranco Zanzi, Francesco Devoti, Adlen Ksentini, Muhammad Shuaib Siddiqui, Xavier Costa-Pérez, Christos V. Verikoukis:
A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions. CoRR abs/2307.00319 (2023) - [i6]Houda Hafi, Bouziane Brik, Pantelis A. Frangoudis, Adlen Ksentini:
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions. CoRR abs/2309.09086 (2023) - 2022
- [j84]Karim Boutiba, Adlen Ksentini, Bouziane Brik, Yacine Challal, Amar Balla:
NRflex: Enforcing network slicing in 5G New Radio. Comput. Commun. 181: 284-292 (2022) - [j83]Kenza Hocini, Mohand Yazid, Adlen Ksentini:
Toward an efficient and coordinated control of full-duplex radio communications in high-efficiency wireless local area networks. Int. J. Commun. Syst. 35(10) (2022) - [j82]Sagar Arora, Karim Boutiba, Mohamed Mekki, Adlen Ksentini:
A 5G Facility for Trialing and Testing Vertical Services and Applications. IEEE Internet Things Mag. 5(4): 150-155 (2022) - [j81]Bouziane Brik, Karim Boutiba, Adlen Ksentini:
Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges. IEEE Open J. Commun. Soc. 3: 228-250 (2022) - [j80]Sabra Ben Saad, Adlen Ksentini, Bouziane Brik:
An end-to-end trusted architecture for network slicing in 5G and beyond networks. Secur. Priv. 5(1) (2022) - [j79]Nassima Toumi, Olivier Bernier, Djamal-Eddine Meddour, Adlen Ksentini:
On Using Physical Programming for Multi-Domain SFC Placement With Limited Visibility. IEEE Trans. Cloud Comput. 10(4): 2787-2803 (2022) - [j78]Zakaria Abou El Houda, Bouziane Brik, Adlen Ksentini, Lyes Khoukhi, Mohsen Guizani:
When Federated Learning Meets Game Theory: A Cooperative Framework to Secure IIoT Applications on Edge Computing. IEEE Trans. Ind. Informatics 18(11): 7988-7997 (2022) - [j77]Bouziane Brik, Kapal Dev, Yang Xiao, Guangjie Han, Adlen Ksentini:
Guest Editorial Introduction to the Special Section on AI-Powered Internet of Everything (IoE) Services in Next-Generation Wireless Networks. IEEE Trans. Netw. Sci. Eng. 9(5): 2952-2954 (2022) - [j76]Mohamed Mekki, Sagar Arora, Adlen Ksentini:
A Scalable Monitoring Framework for Network Slicing in 5G and Beyond Mobile Networks. IEEE Trans. Netw. Serv. Manag. 19(1): 413-423 (2022) - [j75]Hatim Chergui, Adlen Ksentini, Luis Blanco, Christos V. Verikoukis:
Toward Zero-Touch Management and Orchestration of Massive Deployment of Network Slices in 6G. IEEE Wirel. Commun. 29(1): 86-93 (2022) - [c132]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On using Deep Reinforcement Learning to reduce Uplink Latency for uRLLC services. GLOBECOM 2022: 407-412 - [c131]Sabra Ben Saad, Bouziane Brik, Adlen Ksentini:
A Trust and Explainable Federated Deep Learning Framework in Zero Touch B5G Networks. GLOBECOM 2022: 1037-1042 - [c130]Sagar Arora, Adlen Ksentini, Christian Bonnet:
Availability and Latency Aware Deployment of Cloud Native Edge Slices. GLOBECOM 2022: 3441-3446 - [c129]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Radio Resource Management in Multi-numerology 5G New Radio featuring Network Slicing. ICC 2022: 359-364 - [c128]Sagar Arora, Adlen Ksentini, Christian Bonnet:
Lightweight edge Slice Orchestration Framework. ICC 2022: 865-870 - [c127]Mohamed Mekki, Nassima Toumi, Adlen Ksentini:
Microservices Configurations and the Impact on the Performance in Cloud Native Environments. LCN 2022: 239-244 - [c126]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On enabling 5G dynamic TDD by leveraging deep reinforcement learning and O-RAN: demo. MobiHoc 2022: 287-288 - [c125]Somreeta Pramanik, Adlen Ksentini, Carla-Fabiana Chiasserini:
Characterizing the Computational and Memory Requirements of Virtual RANs. WONS 2022: 1-8 - [i5]Somreeta Pramanik, Adlen Ksentini, Carla-Fabiana Chiasserini:
Characterizing the Computational and Memory Requirements of Virtual RANs. CoRR abs/2201.00673 (2022) - [i4]Tarik Taleb, Pantelis A. Frangoudis, Ilias Benkacem, Adlen Ksentini:
CDN Slicing over a Multi-Domain Edge Cloud. CoRR abs/2201.03999 (2022) - [i3]Tarik Taleb, Adlen Ksentini, Pantelis A. Frangoudis:
Follow-Me Cloud: When Cloud Services Follow Mobile Users. CoRR abs/2201.05068 (2022) - [i2]Ibrahim Afolabi, Tarik Taleb, Pantelis A. Frangoudis, Miloud Bagaa, Adlen Ksentini:
Network Slicing-Based Customization of 5G Mobile Services. CoRR abs/2201.07187 (2022) - 2021
- [j74]Nassima Toumi, Olivier Bernier, Djamal-Eddine Meddour, Adlen Ksentini:
On cross-domain Service Function Chain orchestration: An architectural framework. Comput. Networks 187: 107806 (2021) - [j73]Sihem Bakri, Bouziane Brik, Adlen Ksentini:
On using reinforcement learning for network slice admission control in 5G: Offline vs. online. Int. J. Commun. Syst. 34(7) (2021) - [j72]Bouziane Brik, Adlen Ksentini:
Toward Optimal MEC Resource Dimensioning for a Vehicle Collision Avoidance System: A Deep Learning Approach. IEEE Netw. 35(3): 74-80 (2021) - [j71]Tarik Taleb, Adlen Ksentini, Hamed Hellaoui, Oussama Bekkouche:
On Supporting UAV Based Services in 5G and Beyond Mobile Systems. IEEE Netw. 35(4): 220-227 (2021) - [j70]Hatim Chergui, Luis Blanco, Luis A. Garrido, Kostas Ramantas, Slawomir Kuklinski, Adlen Ksentini, Christos V. Verikoukis:
Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing. IEEE Netw. 35(6): 43-49 (2021) - [j69]Guido Marchetto, Riccardo Sisto, Fulvio Valenza, Jalolliddin Yusupov, Adlen Ksentini:
A Formal Approach to Verify Connectivity and Optimize VNF Placement in Industrial Networks. IEEE Trans. Ind. Informatics 17(2): 1515-1525 (2021) - [j68]Sihem Bakri, Pantelis A. Frangoudis, Adlen Ksentini, Maha Bouaziz:
Data-Driven RAN Slicing Mechanisms for 5G and Beyond. IEEE Trans. Netw. Serv. Manag. 18(4): 4654-4668 (2021) - [j67]Samir Si-Mohammed, Maha Bouaziz, Hamed Hellaoui, Oussama Bekkouche, Adlen Ksentini, Tarik Taleb, Lechoslaw Tomaszewski, Thomas Lutz, Gokul Srinivasan, Tanel Jarvet, Pawel Montowtt:
Supporting Unmanned Aerial Vehicle Services in 5G Networks: New High-Level Architecture Integrating 5G With U-Space. IEEE Veh. Technol. Mag. 16(1): 57-65 (2021) - [c124]Miloud Bagaa, Karim Boutiba, Adlen Ksentini:
On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern. GLOBECOM 2021: 1-6 - [c123]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Radio Link Failure Prediction in 5G Networks. GLOBECOM 2021: 1-6 - [c122]Abdelhakim Nacef, Miloud Bagaa, Youcef Aklouf, Abdellah Kaci, Diego Leonel Cadette Dutra, Adlen Ksentini:
Self-optimized network: When Machine Learning Meets Optimization. GLOBECOM 2021: 1-6 - [c121]Nassima Toumi, Miloud Bagaa, Adlen Ksentini:
On using Deep Reinforcement Learning for Multi-Domain SFC placement. GLOBECOM 2021: 1-6 - [c120]Sagar Arora, Adlen Ksentini:
Dynamic Resource Allocation and Placement of Cloud Native Network Services. ICC 2021: 1-6 - [c119]Sabra Ben Saad, Adlen Ksentini, Bouziane Brik:
A Trust architecture for the SLA management in 5G networks. ICC 2021: 1-6 - [c118]Nassima Toumi, Miloud Bagaa, Adlen Ksentini:
Hierarchical Multi-Agent Deep Reinforcement Learning for SFC Placement on Multiple Domains. LCN 2021: 299-304 - [c117]Slawomir Kuklinski, Robert Kolakowski, Lechoslaw Tomaszewski, Luis Sanabria-Russo, Christos V. Verikoukis, Cao-Thanh Phan, Lanfranco Zanzi, Francesco Devoti, Adlen Ksentini, Christos Tselios, George Tsolis, Hatim Chergui:
MonB5G: AI/ML-Capable Distributed Orchestration and Management Framework for Network Slices. MeditCom 2021: 29-34 - 2020
- [j66]Bouziane Brik, Adlen Ksentini, Maha Bouaziz:
Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems. IEEE Access 8: 53841-53849 (2020) - [j65]Fadoua Debbabi, Rihab Jmal, Lamia Chaari Fourati, Adlen Ksentini:
Algorithmics and Modeling Aspects of Network Slicing in 5G and Beyonds Network: Survey. IEEE Access 8: 162748-162762 (2020) - [j64]Francesco Giannone, Pantelis A. Frangoudis, Adlen Ksentini, Luca Valcarenghi:
Orchestrating heterogeneous MEC-based applications for connected vehicles. Comput. Networks 180: 107402 (2020) - [j63]Yousri Daldoul, Djamal-Eddine Meddour, Adlen Ksentini:
Performance evaluation of OFDMA and MU-MIMO in 802.11ax networks. Comput. Networks 182: 107477 (2020) - [j62]Hakima Khelifi, Senlin Luo, Boubakr Nour, Hassine Moungla, Yasir Faheem, Rasheed Hussain, Adlen Ksentini:
Named Data Networking in Vehicular Ad Hoc Networks: State-of-the-Art and Challenges. IEEE Commun. Surv. Tutorials 22(1): 320-351 (2020) - [j61]Adlen Ksentini, Pantelis A. Frangoudis:
On Extending ETSI MEC to Support LoRa for Efficient IoT Application Deployment at the Edge. IEEE Commun. Stand. Mag. 4(2): 57-63 (2020) - [j60]Adlen Ksentini, Bouziane Brik:
An Edge-Based Social Distancing Detection Service to Mitigate COVID-19 Propagation. IEEE Internet Things Mag. 3(3): 35-39 (2020) - [j59]Adlen Ksentini, Pantelis A. Frangoudis:
Toward Slicing-Enabled Multi-Access Edge Computing in 5G. IEEE Netw. 34(2): 99-105 (2020) - [j58]Yulei Wu, Dimitra Simeonidou, Cheng-Xiang Wang, F. Richard Yu, Sunghyun Choi, Guoliang Xue, Adlen Ksentini:
IEEE TCCN Special Section Editorial: Intelligent Resource Management for 5G and Beyond. IEEE Trans. Cogn. Commun. Netw. 6(2): 422-427 (2020) - [j57]Tarik Taleb, Pantelis A. Frangoudis, Ilias Benkacem, Adlen Ksentini:
CDN Slicing over a Multi-Domain Edge Cloud. IEEE Trans. Mob. Comput. 19(9): 2010-2027 (2020) - [c116]Farouk Messaoudi, Philippe Bertin, Adlen Ksentini:
Towards the quest for 5G Network Slicing. CCNC 2020: 1-7 - [c115]Samir Si-Mohammed, Adlen Ksentini, Maha Bouaziz, Yacine Challal, Amar Balla:
UAV mission optimization in 5G: On reducing MEC service relocation. GLOBECOM 2020: 1-6 - [c114]Nassima Toumi, Olivier Bernier, Djamal-Eddine Meddour, Adlen Ksentini:
Towards Cross-Domain Service Function Chain Orchestration. GLOBECOM 2020: 1-5 - [c113]Sihem Bakri, Maha Bouaziz, Pantelis A. Frangoudis, Adlen Ksentini:
Channel stability prediction to optimize signaling overhead in 5G networks using machine learning. ICC 2020: 1-6 - [c112]Bouziane Brik, Pantelis A. Frangoudis, Adlen Ksentini:
Service-Oriented MEC Applications Placement in a Federated Edge Cloud Architecture. ICC 2020: 1-6 - [c111]Bouziane Brik, Adlen Ksentini:
On Predicting Service-oriented Network Slices Performances in 5G: A Federated Learning Approach. LCN 2020: 164-171 - [c110]Umberto Fattore, Marco Liebsch, Bouziane Brik, Adlen Ksentini:
AutoMEC: LSTM-based User Mobility Prediction for Service Management in Distributed MEC Resources. MSWiM 2020: 155-159 - [e1]Christian Callegari, Soon Xin Ng, Panagiotis G. Sarigiannidis, Sebastiano Battiato, Ángel Serrano Sánchez de León, Adlen Ksentini, Pascal Lorenz, Mohammad S. Obaidat, Jalel Ben-Othman:
Proceedings of the 17th International Joint Conference on e-Business and Telecommunications, ICETE 2020 - Volume 1: DCNET, OPTICS, SIGMAP and WINSYS, Lieusaint, Paris, France, July 8-10, 2020. ScitePress 2020, ISBN 978-989-758-445-9 [contents]
2010 – 2019
- 2019
- [j56]Ibrahim A. Gomaa, Emad Abd-Elrahman, Elsayed M. Saad, Adlen Ksentini:
Virtual Identity Performance Evaluations of Anonymous Authentication in IDaaS Framework. IEEE Access 7: 34541-34554 (2019) - [j55]Mohand Yazid, Adlen Ksentini:
Stochastic Modeling of the Static and Dynamic Multichannel Access Methods Enabling 40/80/160 MHz Channel Bonding in the VHT WLANs. IEEE Commun. Lett. 23(8): 1437-1440 (2019) - [j54]Boubakr Nour, Adlen Ksentini, Nicolas Herbaut, Pantelis A. Frangoudis, Hassine Moungla:
A Blockchain-Based Network Slice Broker for 5G Services. IEEE Netw. Lett. 1(3): 99-102 (2019) - [j53]Djabir Abdeldjalil Chekired, Mohammed Amine Togou, Lyes Khoukhi, Adlen Ksentini:
5G-Slicing-Enabled Scalable SDN Core Network: Toward an Ultra-Low Latency of Autonomous Driving Service. IEEE J. Sel. Areas Commun. 37(8): 1769-1782 (2019) - [j52]Ibrahim Afolabi, Tarik Taleb, Pantelis A. Frangoudis, Miloud Bagaa, Adlen Ksentini:
Network Slicing-Based Customization of 5G Mobile Services. IEEE Netw. 33(5): 134-141 (2019) - [j51]Tarik Taleb, Adlen Ksentini, Pantelis A. Frangoudis:
Follow-Me Cloud: When Cloud Services Follow Mobile Users. IEEE Trans. Cloud Comput. 7(2): 369-382 (2019) - [j50]Giuseppe Avino, Paolo Bande, Pantelis A. Frangoudis, Christian Vitale, Claudio Casetti, Carla-Fabiana Chiasserini, Kalkidan Gebru, Adlen Ksentini, Giuliana Zennaro:
A MEC-Based Extended Virtual Sensing for Automotive Services. IEEE Trans. Netw. Serv. Manag. 16(4): 1450-1463 (2019) - [c109]Sihem Bakri, Pantelis A. Frangoudis, Adlen Ksentini:
Dynamic Slicing of RAN Resources for Heterogeneous Coexisting 5G Services. GLOBECOM 2019: 1-6 - [c108]Boubakr Nour, Fan Li, Hakima Khelifi, Hassine Moungla, Adlen Ksentini:
Coexistence of ICN and IP Networks: An NFV as a Service Approach. GLOBECOM 2019: 1-6 - [c107]Adlen Ksentini:
Network Slicing an Enabler of 5G. ICETE (1) 2019: 7 - [c106]Sagar Arora, Pantelis A. Frangoudis, Adlen Ksentini:
Exposing radio network information in a MEC-in-NFV environment: the RNISaaS concept. NetSoft 2019: 306-310 - [c105]Yousri Daldoul, Djamal-Eddine Meddour, Adlen Ksentini:
An Analytical Comparison of MU-MIMO and Single User Transmissions in IEEE 802.11ac. PIMRC 2019: 1-6 - 2018
- [j49]Chia-Yu Chang, Navid Nikaein, Osama Arouk, Kostas Katsalis, Adlen Ksentini, Thierry Turletti, Konstantinos Samdanis:
Slice Orchestration for Multi-Service Disaggregated Ultra-Dense RANs. IEEE Commun. Mag. 56(8): 70-77 (2018) - [j48]Stefano Bregni, Adlen Ksentini, Csaba Simon, Rolland Vida, Peter Nagy, Abdullah S. Almuttiri:
Global Communications Newsletter. IEEE Commun. Mag. 56(9): 7-10 (2018) - [j47]Ibrahim Afolabi, Tarik Taleb, Konstantinos Samdanis, Adlen Ksentini, Hannu Flinck:
Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions. IEEE Commun. Surv. Tutorials 20(3): 2429-2453 (2018) - [j46]